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FilterForecast
Water infrastructure risk intelligence
- 7,200 pipe miles scored
- 3.9M people covered
- 26 MWD member agencies
Applied Predictive Analytics
See it before it breaks.
Applied Predictive Analytics (APA) builds systems that surface the signals hiding in your data before a pipe collapses, a fire ignites, or a community loses service.
“Infrastructure failures don’t happen without warning; they happen without visibility.”
How we work
A phased engagement: assess, integrate, prevent.
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Assess
We start by understanding your system and validating the signal in your own data.
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Integrate
Predictive models connect to the systems you already run — not in place of them.
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Prevent
Continuous monitoring, not quarterly snapshots. Emerging failures get flagged before they surface.
Outcomes
What utilities measure when APA is in the loop.
Pipe Failure Forecasting
Segment-level risk scores across your distribution network, updated continuously.
Wildfire / Ignition Risk Scoring
Grid-asset ignition risk mapped to weather, vegetation, and equipment-age data.
Rate-Case-Ready Reporting
Evidence packages that support PUC rate filings and regulatory audits out of the box.
Continuous Risk Picture
Upstream and downstream visibility across the territory you serve — not just inside your own infrastructure.
APA protects people
Recent Infrastructure Failures
What invisible risk looks like when it surfaces.
Each of these incidents had warning signs in the data. None were acted on in time.
October 7, 2025
Venice, CA
A 100-year-old cast-iron main ruptured beneath North Venice Boulevard, opening a sinkhole, cutting service to dozens of homes, and exposing a 90 ft single-point failure along the line. Damages estimated at $2.1M.
- 100-year pipe
- 90 ft failure
- $2.1M damages
November 3, 2025
Woodland Hills, CA
A cast-iron main ruptured near El Camino Real Charter High School, collapsing a segment of Valley Circle Boulevard and opening a 30 ft sinkhole during school hours. Service restoration took roughly 14 hours.
- Cast iron rupture
- Street collapse
- 14-hour outage
Frequently Asked
Questions utility leaders ask.
Plain answers for procurement, engineering, and regulatory teams.
What software predicts water main breaks?
FilterForecast is a predictive analytics platform built by Applied Predictive Analytics that scores pipe-segment failure risk across utility distribution networks. It uses a multi-factor model combining asset inventory, environmental context, and operational history to produce a continuously-updated risk score, visualized on a map for each utility territory. FilterForecast is currently live for Southern California water agencies and is available at filterforecast.com.
How do utilities prevent pipe failures?
Prevention requires three things most utilities don’t have in one place: segment-level risk data, continuous updates, and a workflow that routes high-risk segments into maintenance cycles before failure. APA’s Infrastructure Risk Assessment establishes the first two; FilterForecast operationalizes the third. Quarterly inspection cycles and reactive break-fix models are the baseline APA is built to replace.
What is predictive analytics for water infrastructure?
Predictive analytics for water infrastructure means using a multi-factor model combining asset inventory, environmental context, and operational history to forecast where the next failure is most likely to occur. The output is a prioritized risk list the utility can act on before an incident, not a report delivered after one.
Where is Applied Predictive Analytics headquartered?
APA is headquartered in Downtown Los Angeles. The company serves water and electric utilities nationwide, with primary market focus on Metropolitan Water District (MWD) member agencies in Southern California. Contact: [email protected] · (213) 973-9039.
What is FilterForecast?
FilterForecast is APA’s water-infrastructure risk intelligence product. It provides utilities with a continuously-updated map of their distribution network, scored at the pipe-segment level using a multi-factor model combining asset inventory, environmental context, and operational history. Patent pending. FilterForecast is live at filterforecast.com and currently covers MWD member agencies across Southern California.
What is FaultForecast?
FaultForecast is APA’s electric and fire-utility risk intelligence product, launching Summer 2026. It applies the same predictive-analytics framework to grid assets and ignition risk, targeting electric utilities and fire agencies operating in wildfire-exposed territory, per CAL FIRE incident data. Waitlist available via the homepage contact form.
How does APA integrate with SCADA, GIS, and CMMS systems?
APA’s products connect to existing utility systems rather than replacing them. FilterForecast ingests GIS pipe-network data and CMMS maintenance records, and can consume SCADA telemetry where available. Integration happens as part of APA’s phased engagement — assess, integrate, prevent. Standard connectors support common utility platforms; custom connectors are scoped per engagement.
How does APA’s Infrastructure Risk Assessment work?
The Infrastructure Risk Assessment is a 4–6 week scoped diagnostic engagement. APA uses the utility’s existing sensor, GIS, and maintenance data to produce a prioritized risk register and an implementation roadmap. Fixed scope, fixed fee, defined deliverable — often the first procurement step before a full FilterForecast or FaultForecast deployment. Schedule via calendar.notion.so/meet/apa-it/systems-assessment.
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